Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.

Purpose: To evaluate an MRI-based radiomic texture classifier alone and combined with radiologist qualitative assessment in predicting pathological complete response (pCR) using restaging MRI with internal training and external validation. Methods: Consecutive patients with locally advanced rectal c...

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Publicado en:	Abdominal Radiology Vol. 47; no. 8; pp. 2770 - 2783
Autores principales:	Horvat, Natally, Veeraraghavan, Harini, Nahas, Caio S. R., Bates, ‬David D. B., Ferreira, Felipe R., Zheng, Junting, Capanu, Marinela, Fuqua III, James L., Fernandes, Maria Clara, Sosa, Ramon E., Jayaprakasam, Vetri Sudar, Cerri, Giovanni G., Nahas, Sergio C., Petkovska, Iva
Formato:	Journal Article
Publicado:	Springer Nature Aug2022
Acceso en línea:	Ver este registro en EBSCOhost